| Add(const LayerType &layer) | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | inline |
| Add(Args...args) | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | inline |
| Add(LayerTypes layer) | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | inline |
| Backward() | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| currentInput | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| deleteVisitor | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| deltaVisitor | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| deterministic | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| error | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| Evaluate(const arma::mat &, const size_t i, const bool deterministic=true) | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | |
| Forward(arma::mat &&input) | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| Gradient(const arma::mat ¶meters, const size_t i, arma::mat &gradient) | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | |
| Gradient() | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| initializeRule | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| inputSize | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| moduleOutputParameter | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| network | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| NetworkType typedef | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | |
| numFunctions | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| NumFunctions() const | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | inline |
| outputLayer | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| outputParameterVisitor | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| outputSize | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| parameter | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| Parameters() const | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | inline |
| Parameters() | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | inline |
| Predict(arma::mat &predictors, arma::mat &responses) | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | |
| predictors | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| reset | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| ResetDeterministic() | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| ResetGradients(arma::mat &gradient) | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| ResetParameters() | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| resetVisitor | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| responses | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| rho | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| RNN(const size_t rho, const bool single=false, OutputLayerType outputLayer=OutputLayerType(), InitializationRuleType initializeRule=InitializationRuleType()) | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | |
| RNN(const arma::mat &predictors, const arma::mat &responses, const size_t rho, const bool single=false, OutputLayerType outputLayer=OutputLayerType(), InitializationRuleType initializeRule=InitializationRuleType()) | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | |
| Serialize(Archive &ar, const unsigned int) | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | |
| single | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| SinglePredict(const arma::mat &predictors, arma::mat &responses) | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| targetSize | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| Train(const arma::mat &predictors, const arma::mat &responses, OptimizerType< NetworkType > &optimizer) | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | |
| Train(const arma::mat &predictors, const arma::mat &responses) | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | |
| weightSizeVisitor | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | private |
| ~RNN() | mlpack::ann::RNN< OutputLayerType, InitializationRuleType > | |